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Emotion Recognition Algorithm Application Financial Development and Economic Growth Status and Development Trend

Overview of attention for article published in Frontiers in Psychology, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Emotion Recognition Algorithm Application Financial Development and Economic Growth Status and Development Trend
Published in
Frontiers in Psychology, February 2022
DOI 10.3389/fpsyg.2022.856409
Pubmed ID
Authors

Dahai Wang, Bing Li, Xuebo Yan

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 July 2023.
All research outputs
#7,732,935
of 24,041,016 outputs
Outputs from Frontiers in Psychology
#11,125
of 32,273 outputs
Outputs of similar age
#154,717
of 430,984 outputs
Outputs of similar age from Frontiers in Psychology
#320
of 1,684 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 32,273 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 430,984 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 1,684 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.